AI Engineer

At Tabs, an AI Engineer is tasked with designing and building user-friendly tools for managing AI pipelines and agents. You'll collaborate with cross-functional teams to create cutting-edge AI-powered solutions that align with both user needs and business goals while ensuring that new features are reliably deployed and impactful in production.

To qualify for the AI Engineer role at Tabs, candidates should have a minimum of 2 years of relevant professional experience in ML/AI engineering. You must be familiar with open-source AI frameworks like LangChain and possess strong programming skills in Python, with an understanding of backend development being essential.

Tabs fosters an engaging work environment where AI Engineers can thrive. With an emphasis on collaboration, team-oriented culture, and regular feedback loops, you'll benefit from working directly with others who are passionate about AI and finance. The in-office culture encourages interaction, with plenty of whiteboard space for sharing ideas and connecting with your teammates.

Tabs offers a competitive compensation package that includes equity and comprehensive healthcare coverage, including medical, dental, and vision. Other perks include a 401(k) plan, daily meal and coffee stipends for in-office work, and tax-free contributions to commuter benefits, ensuring a supportive and rewarding environment for all employees.

AI Engineers at Tabs will have the opportunity to work on groundbreaking projects that include developing AI-powered workflows, enhancing revenue automation capabilities, and pushing the limits of production AI systems. You'll be a key player in innovating solutions that dramatically improve operational efficiencies for finance teams across various B2B businesses.

When answering this question, focus on specific projects where you utilized frameworks like LangChain. Highlight the challenges you faced and how you overcame them, emphasizing your problem-solving skills and your understanding of the framework's deployment in production environments.

Explain your step-by-step process, from understanding current system architecture to developing an integration plan, testing features, and ensuring their reliability post-deployment. Emphasize the importance of collaboration with cross-functional teams during this process.

Share your passion for the transformative potential of AI solutions in finance. Discuss how automation can reduce manual workloads, increase efficiency, and provide invaluable insights, enabling finance teams to focus more on strategic decision-making.

Discuss various resources you utilize to keep your knowledge fresh, such as following key influencers in the field, subscribing to industry publications, and attending conferences or webinars. Emphasize the importance of continuous learning in technology development.

Outline the project background, the specific challenges faced, and the strategies you employed to manage them. Focus on your use of collaboration, data analysis, and problem-resolution skills to navigate the obstacles successfully.

Mention your technical skills with a focus on Python, highlighting projects where you've implemented backend solutions or deployed AI features. Provide specific examples to demonstrate your proficiency and comfort level with coding.

Explain your prioritization framework, perhaps by discussing how you assess project urgency and impact or how you use agile methodologies to manage workflow effectively. Provide an example of how you successfully managed competing priorities in the past.

Share a specific instance where customer feedback led to a significant improvement in a product or feature. Focus on the steps you took to gather that feedback and how you translated it into actionable changes that benefited user experience.

Discuss your views on upcoming trends and technologies in AI, such as advancements in machine learning algorithms or the rise of explainable AI. Relate these innovations back to potential impacts on efficiency, security, and decision-making in finance.

This is your chance to express genuine enthusiasm for Tabs and its mission. Focus on the alignment of your skills with the job description and express how you believe your contributions can help further Tabs' goals in revolutionizing B2B finance through AI.